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This allows custom tools access to uploads and sophisticated searches using embedding.
It introduces:
- A shared front end for listing and uploading files (shared with personas)
- Backend implementation of index.search function within a custom tool.
Custom tools now may search through uploaded files
function invoke(params) {
return index.search(params.query)
}
This means that RAG implementers now may preload tools with knowledge and have high fidelity over
the search.
The search function support
specifying max results
specifying a subset of files to search (from uploads)
Also
- Improved documentation for tools (when creating a tool a preamble explains all the functionality)
- uploads were a bit finicky, fixed an edge case where the UI would not show them as updated
23 lines
516 B
Ruby
23 lines
516 B
Ruby
# frozen_string_literal: true
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class AiCustomToolSerializer < ApplicationSerializer
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attributes :id,
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:name,
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:description,
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:summary,
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:parameters,
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:script,
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:rag_chunk_tokens,
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:rag_chunk_overlap_tokens,
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:created_by_id,
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:created_at,
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:updated_at
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self.root = "ai_tool"
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has_many :rag_uploads, serializer: UploadSerializer, embed: :object
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def rag_uploads
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object.uploads
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end
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end
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